{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Choropleth classification schemes from PySAL for use with GeoPandas\n",
    "\n",
    "<img src=\"https://pysal.org/pysal/_static/pysal_logo.png\" width=\"200\" >\n",
    "PySAL is a [Spatial Analysis Library](https://pysal.org), which packages fast spatial algorithms used in various fields. These include Exploratory spatial data analysis, spatial inequality analysis, spatial analysis on networks, spatial dynamics, and many more.\n",
    "\n",
    "It is used under the hood in geopandas when plotting measures with a set of colors. There are many ways to classify data into different bins, depending on a number of classification schemes.\n",
    "\n",
    "<img src=\"http://alumni.media.mit.edu/~tpminka/courses/36-350.2001/lectures/day11/boston-kmeans.png\" width=\"300\">\n",
    "\n",
    "For example, if we have 20 countries whose average annual temperature varies between 5C and 25C, we can classify them in 4 bins by:\n",
    "\n",
    "* Quantiles\n",
    "    - Separates the rows into equal parts, 5 countries per bin.\n",
    "* Equal Intervals\n",
    "    - Separates the measure's interval into equal parts, 5C per bin.\n",
    "* Natural Breaks (Fischer Jenks)\n",
    "    - This algorithm tries to split the rows into naturally occurring clusters. The numbers per bin will depend on how the observations are located on the interval."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:29:37.736444Z",
     "start_time": "2017-12-15T21:29:37.716444Z"
    }
   },
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:29:39.866422Z",
     "start_time": "2017-12-15T21:29:39.846422Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Observations, Attributes: (49, 21)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AREA</th>\n",
       "      <th>PERIMETER</th>\n",
       "      <th>COLUMBUS_</th>\n",
       "      <th>COLUMBUS_I</th>\n",
       "      <th>POLYID</th>\n",
       "      <th>NEIG</th>\n",
       "      <th>HOVAL</th>\n",
       "      <th>INC</th>\n",
       "      <th>CRIME</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>...</th>\n",
       "      <th>DISCBD</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>NSA</th>\n",
       "      <th>NSB</th>\n",
       "      <th>EW</th>\n",
       "      <th>CP</th>\n",
       "      <th>THOUS</th>\n",
       "      <th>NEIGNO</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.309441</td>\n",
       "      <td>2.440629</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>80.467003</td>\n",
       "      <td>19.531</td>\n",
       "      <td>15.725980</td>\n",
       "      <td>2.850747</td>\n",
       "      <td>...</td>\n",
       "      <td>5.03</td>\n",
       "      <td>38.799999</td>\n",
       "      <td>44.070000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1005.0</td>\n",
       "      <td>POLYGON ((8.62413 14.23698, 8.55970 14.74245, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.259329</td>\n",
       "      <td>2.236939</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>44.567001</td>\n",
       "      <td>21.232</td>\n",
       "      <td>18.801754</td>\n",
       "      <td>5.296720</td>\n",
       "      <td>...</td>\n",
       "      <td>4.27</td>\n",
       "      <td>35.619999</td>\n",
       "      <td>42.380001</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>POLYGON ((8.25279 14.23694, 8.28276 14.22994, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.192468</td>\n",
       "      <td>2.187547</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>26.350000</td>\n",
       "      <td>15.956</td>\n",
       "      <td>30.626781</td>\n",
       "      <td>4.534649</td>\n",
       "      <td>...</td>\n",
       "      <td>3.89</td>\n",
       "      <td>39.820000</td>\n",
       "      <td>41.180000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1006.0</td>\n",
       "      <td>POLYGON ((8.65331 14.00809, 8.81814 14.00205, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.083841</td>\n",
       "      <td>1.427635</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>33.200001</td>\n",
       "      <td>4.477</td>\n",
       "      <td>32.387760</td>\n",
       "      <td>0.394427</td>\n",
       "      <td>...</td>\n",
       "      <td>3.70</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>40.520000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1002.0</td>\n",
       "      <td>POLYGON ((8.45950 13.82035, 8.47341 13.83227, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.488888</td>\n",
       "      <td>2.997133</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>23.225000</td>\n",
       "      <td>11.252</td>\n",
       "      <td>50.731510</td>\n",
       "      <td>0.405664</td>\n",
       "      <td>...</td>\n",
       "      <td>2.83</td>\n",
       "      <td>40.009998</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>POLYGON ((8.68527 13.63952, 8.67758 13.72221, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       AREA  PERIMETER  COLUMBUS_  COLUMBUS_I  POLYID  NEIG      HOVAL  \\\n",
       "0  0.309441   2.440629          2           5       1     5  80.467003   \n",
       "1  0.259329   2.236939          3           1       2     1  44.567001   \n",
       "2  0.192468   2.187547          4           6       3     6  26.350000   \n",
       "3  0.083841   1.427635          5           2       4     2  33.200001   \n",
       "4  0.488888   2.997133          6           7       5     7  23.225000   \n",
       "\n",
       "      INC      CRIME      OPEN  ...  DISCBD          X          Y  NSA  NSB  \\\n",
       "0  19.531  15.725980  2.850747  ...    5.03  38.799999  44.070000  1.0  1.0   \n",
       "1  21.232  18.801754  5.296720  ...    4.27  35.619999  42.380001  1.0  1.0   \n",
       "2  15.956  30.626781  4.534649  ...    3.89  39.820000  41.180000  1.0  1.0   \n",
       "3   4.477  32.387760  0.394427  ...    3.70  36.500000  40.520000  1.0  1.0   \n",
       "4  11.252  50.731510  0.405664  ...    2.83  40.009998  38.000000  1.0  1.0   \n",
       "\n",
       "    EW   CP   THOUS  NEIGNO                                           geometry  \n",
       "0  1.0  0.0  1000.0  1005.0  POLYGON ((8.62413 14.23698, 8.55970 14.74245, ...  \n",
       "1  0.0  0.0  1000.0  1001.0  POLYGON ((8.25279 14.23694, 8.28276 14.22994, ...  \n",
       "2  1.0  0.0  1000.0  1006.0  POLYGON ((8.65331 14.00809, 8.81814 14.00205, ...  \n",
       "3  0.0  0.0  1000.0  1002.0  POLYGON ((8.45950 13.82035, 8.47341 13.83227, ...  \n",
       "4  1.0  0.0  1000.0  1007.0  POLYGON ((8.68527 13.63952, 8.67758 13.72221, ...  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We use a PySAL example shapefile\n",
    "import libpysal as ps\n",
    "\n",
    "pth = ps.examples.get_path(\"columbus.shp\")\n",
    "tracts = gpd.GeoDataFrame.from_file(pth)\n",
    "print(\"Observations, Attributes:\", tracts.shape)\n",
    "tracts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the CRIME variable\n",
    "In this example, we are taking a look at neighbourhood-level statistics for the city of Columbus, OH. We'd like to have an idea of how the crime rate variable is distributed around the city.\n",
    "\n",
    "From the [shapefile's metadata](https://github.com/pysal/pysal_examples/tree/master/pysal_examples/columbus):\n",
    ">**CRIME**: residential burglaries and vehicle thefts per 1000 households"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's take a look at how the CRIME variable is distributed with a histogram\n",
    "tracts[\"CRIME\"].hist(bins=20)\n",
    "plt.xlabel(\"CRIME\\nResidential burglaries and vehicle thefts per 1000 households\")\n",
    "plt.ylabel(\"Number of neighbourhoods\")\n",
    "plt.title(\"Distribution of neighbourhoods by crime rate in Columbus, OH\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's see what it looks like without a classification scheme:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:29:54.097280Z",
     "start_time": "2017-12-15T21:29:53.766283Z"
    },
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tracts.plot(column=\"CRIME\", cmap=\"OrRd\", edgecolor=\"k\", legend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All the 49 neighbourhoods are colored along a white-to-dark-red gradient, but the human eye can have a hard time comparing the color of shapes that are distant one to the other. In this case, it is especially hard to rank the peripheral districts colored in beige.\n",
    "\n",
    "Instead, we'll classify them in color bins."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classification by quantiles\n",
    ">QUANTILES will create attractive maps that place an equal number of observations in each class: If you have 30 counties and 6 data classes, you’ll have 5 counties in each class. The problem with quantiles is that you can end up with classes that have very different numerical ranges (e.g., 1-4, 4-9, 9-250)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:30:30.408917Z",
     "start_time": "2017-12-15T21:30:30.088920Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Splitting the data in three shows some spatial clustering around the center\n",
    "tracts.plot(\n",
    "    column=\"CRIME\", scheme=\"quantiles\", k=3, cmap=\"OrRd\", edgecolor=\"k\", legend=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:28:00.376417Z",
     "start_time": "2017-12-15T21:27:57.039Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can also see where the top and bottom halves are located\n",
    "tracts.plot(\n",
    "    column=\"CRIME\", scheme=\"quantiles\", k=2, cmap=\"OrRd\", edgecolor=\"k\", legend=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classification by equal intervals\n",
    ">EQUAL INTERVAL divides the data into equal size classes (e.g., 0-10, 10-20, 20-30, etc.) and works best on data that is generally spread across the entire range. CAUTION: Avoid equal interval if your data are skewed to one end or if you have one or two really large outlier values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:28:00.376417Z",
     "start_time": "2017-12-15T21:27:57.045Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tracts.plot(\n",
    "    column=\"CRIME\",\n",
    "    scheme=\"equal_interval\",\n",
    "    k=4,\n",
    "    cmap=\"OrRd\",\n",
    "    edgecolor=\"k\",\n",
    "    legend=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:28:00.386417Z",
     "start_time": "2017-12-15T21:27:57.048Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# No legend here as we'd be out of space\n",
    "tracts.plot(column=\"CRIME\", scheme=\"equal_interval\", k=12, cmap=\"OrRd\", edgecolor=\"k\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classificaton by natural breaks\n",
    ">NATURAL BREAKS is a kind of “optimal” classification scheme that finds class breaks that will minimize within-class variance and maximize between-class differences. One drawback of this approach is each dataset generates a unique classification solution, and if you need to make comparison across maps, such as in an atlas or a series (e.g., one map each for 1980, 1990, 2000) you might want to use a single scheme that can be applied across all of the maps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-12-15T21:28:00.376417Z",
     "start_time": "2017-12-15T21:27:57.042Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compare this to the previous 3-bin figure with quantiles\n",
    "tracts.plot(\n",
    "    column=\"CRIME\",\n",
    "    scheme=\"natural_breaks\",\n",
    "    k=3,\n",
    "    cmap=\"OrRd\",\n",
    "    edgecolor=\"k\",\n",
    "    legend=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other classification schemes in PySAL\n",
    "\n",
    "Geopandas includes only the most used classifiers found in PySAL. In order to use the others, you will need to add them as additional columns to your GeoDataFrame.\n",
    "\n",
    ">The max-p algorithm determines the number of regions (p) endogenously based on a set of areas, a matrix of attributes on each area and a floor constraint. The floor constraint defines the minimum bound that a variable must reach for each region; for example, a constraint might be the minimum population each region must have. max-p further enforces a contiguity constraint on the areas within regions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AREA</th>\n",
       "      <th>PERIMETER</th>\n",
       "      <th>COLUMBUS_</th>\n",
       "      <th>COLUMBUS_I</th>\n",
       "      <th>POLYID</th>\n",
       "      <th>NEIG</th>\n",
       "      <th>HOVAL</th>\n",
       "      <th>INC</th>\n",
       "      <th>CRIME</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>...</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>NSA</th>\n",
       "      <th>NSB</th>\n",
       "      <th>EW</th>\n",
       "      <th>CP</th>\n",
       "      <th>THOUS</th>\n",
       "      <th>NEIGNO</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Max_P</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.309441</td>\n",
       "      <td>2.440629</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>80.467003</td>\n",
       "      <td>19.531</td>\n",
       "      <td>15.725980</td>\n",
       "      <td>2.850747</td>\n",
       "      <td>...</td>\n",
       "      <td>38.799999</td>\n",
       "      <td>44.070000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1005.0</td>\n",
       "      <td>POLYGON ((8.62413 14.23698, 8.55970 14.74245, ...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.259329</td>\n",
       "      <td>2.236939</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>44.567001</td>\n",
       "      <td>21.232</td>\n",
       "      <td>18.801754</td>\n",
       "      <td>5.296720</td>\n",
       "      <td>...</td>\n",
       "      <td>35.619999</td>\n",
       "      <td>42.380001</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>POLYGON ((8.25279 14.23694, 8.28276 14.22994, ...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.192468</td>\n",
       "      <td>2.187547</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>26.350000</td>\n",
       "      <td>15.956</td>\n",
       "      <td>30.626781</td>\n",
       "      <td>4.534649</td>\n",
       "      <td>...</td>\n",
       "      <td>39.820000</td>\n",
       "      <td>41.180000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1006.0</td>\n",
       "      <td>POLYGON ((8.65331 14.00809, 8.81814 14.00205, ...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.083841</td>\n",
       "      <td>1.427635</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>33.200001</td>\n",
       "      <td>4.477</td>\n",
       "      <td>32.387760</td>\n",
       "      <td>0.394427</td>\n",
       "      <td>...</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>40.520000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1002.0</td>\n",
       "      <td>POLYGON ((8.45950 13.82035, 8.47341 13.83227, ...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.488888</td>\n",
       "      <td>2.997133</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>23.225000</td>\n",
       "      <td>11.252</td>\n",
       "      <td>50.731510</td>\n",
       "      <td>0.405664</td>\n",
       "      <td>...</td>\n",
       "      <td>40.009998</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>POLYGON ((8.68527 13.63952, 8.67758 13.72221, ...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       AREA  PERIMETER  COLUMBUS_  COLUMBUS_I  POLYID  NEIG      HOVAL  \\\n",
       "0  0.309441   2.440629          2           5       1     5  80.467003   \n",
       "1  0.259329   2.236939          3           1       2     1  44.567001   \n",
       "2  0.192468   2.187547          4           6       3     6  26.350000   \n",
       "3  0.083841   1.427635          5           2       4     2  33.200001   \n",
       "4  0.488888   2.997133          6           7       5     7  23.225000   \n",
       "\n",
       "      INC      CRIME      OPEN  ...          X          Y  NSA  NSB   EW   CP  \\\n",
       "0  19.531  15.725980  2.850747  ...  38.799999  44.070000  1.0  1.0  1.0  0.0   \n",
       "1  21.232  18.801754  5.296720  ...  35.619999  42.380001  1.0  1.0  0.0  0.0   \n",
       "2  15.956  30.626781  4.534649  ...  39.820000  41.180000  1.0  1.0  1.0  0.0   \n",
       "3   4.477  32.387760  0.394427  ...  36.500000  40.520000  1.0  1.0  0.0  0.0   \n",
       "4  11.252  50.731510  0.405664  ...  40.009998  38.000000  1.0  1.0  1.0  0.0   \n",
       "\n",
       "    THOUS  NEIGNO                                           geometry  Max_P  \n",
       "0  1000.0  1005.0  POLYGON ((8.62413 14.23698, 8.55970 14.74245, ...      0  \n",
       "1  1000.0  1001.0  POLYGON ((8.25279 14.23694, 8.28276 14.22994, ...      0  \n",
       "2  1000.0  1006.0  POLYGON ((8.65331 14.00809, 8.81814 14.00205, ...      2  \n",
       "3  1000.0  1002.0  POLYGON ((8.45950 13.82035, 8.47341 13.83227, ...      2  \n",
       "4  1000.0  1007.0  POLYGON ((8.68527 13.63952, 8.67758 13.72221, ...      3  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def max_p(values, k):\n",
    "    \"\"\"\n",
    "    Given a list of values and `k` bins,\n",
    "    returns a list of their Maximum P bin number.\n",
    "    \"\"\"\n",
    "    from mapclassify import MaxP\n",
    "\n",
    "    binning = MaxP(values, k=k)\n",
    "    return binning.yb\n",
    "\n",
    "\n",
    "tracts[\"Max_P\"] = max_p(tracts[\"CRIME\"].values, k=5)\n",
    "tracts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tracts.plot(column=\"Max_P\", cmap=\"OrRd\", edgecolor=\"k\", categorical=True, legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "nbsphinx": {
   "execute": "never"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
